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## mysql-docker.sh
# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE


## panel-redirect.js
/*
Add a link to the sidebar to any path in Home Assistant

Put this file in <config>/www/panel-redirect.js

In configuration.yaml:

panel_custom:
  - name: panel-redirect
    # url_path needs to be unique for each panel_custom config

## PainterlyLighting.shader
Shader "Custom/PainterlyLighting"
{
    Properties
    {
        _Color ("Color", Color) = (1,1,1,1)
        [HDR]_SpecularColor("Specular color", Color) = (1, 1, 1, 1)
        _MainTex ("Albedo (RGB)", 2D) = "white" {}
        [Normal]_Normal("Normal", 2D) = "bump" {}
        _NormalStrength("Normal strength", Range(-2, 2)) = 1


## frontier_AIMLDS.md

      
              1 file
            
          
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                prabakaranc98
                / frontier_AIMLDS.md
            
            
              Created
              March 9, 2026 15:45
            
              
                # Frontier AI/ML/Data Science: A Survey of Problem Spaces, Roles & Required Skillsets
              
          
    Frontier AI/ML/Data Science: A Survey of Problem Spaces, Roles & Required Skillsets

Executive Summary

The frontier AI/ML/Data Science ecosystem spans hundreds of distinct problem spaces across top labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR, xAI), FAANG-tier companies, and high-growth startups. Rather than thinking in terms of generic titles like "Machine Learning Engineer," the field is better understood through the lens of specific problem spaces — each demanding a unique combination of technical depth, research orientation, and engineering rigor.
This survey organizes the landscape under three broad umbrellas — AI (Frontier Research & Systems), Machine Learning (Engineering & Applied), and Data Science (Applied Analytics & Decision Intelligence) — and enumerates the major problem spaces within each. For every problem space, the report identifies the key companies working on it, the specific roles that exist, and the precise skillsets and mindsets required.


## introrx.md

      
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              2518 forks
            
          
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              22031 stars
            
          
                staltz
                / introrx.md
            
            
              Last active
              March 10, 2026 03:48
            
              
                The introduction to Reactive Programming you've been missing
              
          
    The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.


## tropes.md

      
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                ossa-ma
                / tropes.md
            
            
              Last active
              March 10, 2026 03:46
            
              
                AI Writing Tropes to Avoid — tropes.fyi by ossama.is
              
          
    AI Writing Tropes to Avoid

Add this file to your AI assistant's system prompt or context to help it avoid
common AI writing patterns. Source: tropes.fyi by ossama.is

Word Choice

"Quietly" and Other Magic Adverbs


## TWITTER_BLOCKLIST_PUBLIC.md

      
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              20 stars
            
          
                steipete
                / TWITTER_BLOCKLIST_PUBLIC.md
            
            
              Created
              March 9, 2026 06:13
            
              
                Redacted Twitter mention blocklist policy
              
          
    Twitter Mention Blocklist Policy

Public-safe version. Redacted. No handles, no links, no callouts.
Block immediately


Strongly derogatory replies
Crypto spam, token shills, wallet/contract junk
Clear AI slop or reply-bot behavior
Repetitive low-context spam


## microgpt.py
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

## tunnel-to-wg.md

      
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              10 stars
            
          
                WildeBeast2521
                / tunnel-to-wg.md
            
            
              Created
              June 16, 2025 07:06
            
              
                A guide to use Cloudflare Tunnel with WireGuard client application
              
          
tunnel-to-wg


Table of Contents


About
Guide
Usage
Acknowledgements


## meetStructuresInMiddle.py
import itertools
import random
import time

A = 0x5deece66d
B = 11
LCG_MOD_POW = 48
M = 2**LCG_MOD_POW
BIG_MASK = M - 1
	# Backup
	docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

	# Restore
	cat backup.sql \| docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE
	/*
	Add a link to the sidebar to any path in Home Assistant

	Put this file in <config>/www/panel-redirect.js

	In configuration.yaml:

	panel_custom:
	- name: panel-redirect
	# url_path needs to be unique for each panel_custom config
	Shader "Custom/PainterlyLighting"
	{
	Properties
	{
	_Color ("Color", Color) = (1,1,1,1)
	[HDR]_SpecularColor("Specular color", Color) = (1, 1, 1, 1)
	_MainTex ("Albedo (RGB)", 2D) = "white" {}
	[Normal]_Normal("Normal", 2D) = "bump" {}
	_NormalStrength("Normal strength", Range(-2, 2)) = 1
	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp
	import itertools
	import random
	import time

	A = 0x5deece66d
	B = 11
	LCG_MOD_POW = 48
	M = 2**LCG_MOD_POW
	BIG_MASK = M - 1